A local UI package for querying pooled embedding zips against original markdown chunks
Project description
quering
A local UI package for querying pooled embedding zips against the original markdown chunk zip.
What it does
- launches with the
queringcommand - accepts a pooled embedding zip from the previous
poolinstep - accepts the original markdown chunk zip from the
MarkdownHeaderTextSplitterstep - lets you choose an embedding model for the query sentence
- ranks the highest scoring pooled groups
- maps the best matches back to the original markdown chunk texts
- exports a zip with results, matched chunks, and an LLM-ready prompt
Install
pip install quering
Run
quering
Output zip contents
querying_summary.jsonquerying_results.csvllm_prompt.txtinputs_used.json*_results.jsonl(optional)*_results.npz(optional)matched_chunks/(optional)
Notes
- Best results come from using the same embedding model for the query that was used to create the pooled embeddings.
- This package is an original implementation for local experimentation.
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